This statistic shows the age structure in the Philippines from 2013 to 2023. In 2023, about 28.61 percent of the total population of the Philippines were aged 0 to 14 years.

Population ages 0-14 (% of total population) in Philippines was reported at 27.87 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Philippines - Population ages 0-14 (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Population ages 15-64, total in Philippines was reported at 77198220 Persons in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Philippines - Population ages 15-64, total - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

In 2025, the average age in the Philippines is expected to reach 26.1 years, increasing to roughly 46.1 years of age by 2100. This is a significant rise, considering that until the year 2000, the country’s median age was under 20 years old. From 2011 to 2021, the share of very young people decreased, while the age brackets for people aged 15-64 and 65 or older grew. This shift in age structure implies a lower birth rate, as well as an aging population. Birth and family size As of 2020, the birth rate in the Philippines is just under 22 children born per thousand inhabitants each year, about 3 less than in the decade before. The fertility rate has likewise been decreasing since 2007, but is still higher than the Oceania region’s average as of 2020. Fewer newborns each year contributes to a lower median age. High mortality in the Philippines is preventable Life expectancy is also factor in a rising median age, although increasing only marginally in the Philippines compared with neighboring countries Cambodia, Myanmar, and Laos (but still higher than in these countries). The life expectancy in the Philippines was just under 72 years of age in 2017, and roughly three years shorter than in Thailand or Vietnam. One factor that lowers the life expectancy is the high mortality rate due to noncontagious diseases, such as cancer and heart and respiratory problems, accounting for more than a quarter of early deaths from ages 30 to 70 in the Philippines.

Graph and download economic data for Population Ages 0 to 14 for the Philippines (SPPOP0014TOZSPHL) from 1960 to 2024 about 0 to 14 years, Philippines, and population.

Philippines Population: Female: Age: 65 Years & Over data was reported at 3,134.000 Person th in Oct 2017. This records an increase from the previous number of 3,044.000 Person th for Jul 2017. Philippines Population: Female: Age: 65 Years & Over data is updated quarterly, averaging 2,271.000 Person th from Jul 2004 (Median) to Oct 2017, with 54 observations. The data reached an all-time high of 3,134.000 Person th in Oct 2017 and a record low of 1,937.000 Person th in Jul 2004. Philippines Population: Female: Age: 65 Years & Over data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G004: Labour Force Survey: Population: Age 15 and Above.

Philippines PH: Age Dependency Ratio: % of Working-Age Population: Old data was reported at 7.565 % in 2017. This records an increase from the previous number of 7.399 % for 2016. Philippines PH: Age Dependency Ratio: % of Working-Age Population: Old data is updated yearly, averaging 5.943 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 7.565 % in 2017 and a record low of 5.395 % in 1995. Philippines PH: Age Dependency Ratio: % of Working-Age Population: Old data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Philippines – Table PH.World Bank.WDI: Population and Urbanization Statistics. Age dependency ratio, old, is the ratio of older dependents--people older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.; ; World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average;

Population ages 15-64 (% of total population) in Philippines was reported at 66.64 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Philippines - Population ages 15-64 (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Philippines PH: Population: Male: Ages 80 and Above: % of Male Population data was reported at 0.503 % in 2017. This records an increase from the previous number of 0.478 % for 2016. Philippines PH: Population: Male: Ages 80 and Above: % of Male Population data is updated yearly, averaging 0.323 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 0.503 % in 2017 and a record low of 0.227 % in 1970. Philippines PH: Population: Male: Ages 80 and Above: % of Male Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Philippines – Table PH.World Bank: Population and Urbanization Statistics. Male population between the ages 80 and above as a percentage of the total male population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; ;

Population ages 0-14, male (% of male population) in Philippines was reported at 28.51 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Philippines - Population ages 0-14, male (% of total) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

School age population, primary education, both sexes (number) in Philippines was reported at 13446616 Persons in 2020, according to the World Bank collection of development indicators, compiled from officially recognized sources. Philippines - Population of the official age for primary education, both sexes - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Age dependency ratio (% of working-age population) in Philippines was reported at 50.06 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Philippines - Age dependency ratio (% of working-age population) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

In 2019, around **** percent of the surveyed respondents aged 60 to 69 in the Philippines were in very healthy condition, while only approximately *** percent of those over ** were very healthy. In recent years, healthcare spending in the Philippines had gradually increased.

Based on the 2020 census, there were approximately 179.18 thousand males and about 178 thousand females between the ages of 20 and 29 years old residing in the capital city of Manila in the Philippines - the largest age group in that year. The number of people in Manila declined with age, with the male population of those 80 years and above reaching about 3.51 thousand.

Graph and download economic data for Population ages 65 and above for the Philippines (SPPOP65UPTOZSPHL) from 1960 to 2024 about Philippines, 65-years +, and population.

Philippines PH: Age Dependency Ratio: % of Working-Age Population data was reported at 57.526 % in 2017. This records a decrease from the previous number of 57.859 % for 2016. Philippines PH: Age Dependency Ratio: % of Working-Age Population data is updated yearly, averaging 79.908 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 102.539 % in 1964 and a record low of 57.526 % in 2017. Philippines PH: Age Dependency Ratio: % of Working-Age Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Philippines – Table PH.World Bank.WDI: Population and Urbanization Statistics. Age dependency ratio is the ratio of dependents--people younger than 15 or older than 64--to the working-age population--those ages 15-64. Data are shown as the proportion of dependents per 100 working-age population.; ; World Bank staff estimates based on age distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average; Relevance to gender indicator: this indicator implies the dependency burden that the working-age population bears in relation to children and the elderly. Many times single or widowed women who are the sole caregiver of a household have a high dependency ratio.

Graph and download economic data for Age Dependency Ratio: Older Dependents to Working-Age Population for the Philippines (SPPOPDPNDOLPHL) from 1960 to 2024 about 64 years +, Philippines, working-age, ratio, and population.

Abstract

The 2022 Philippines National Demographic and Health Survey (NDHS) was implemented by the Philippine Statistics Authority (PSA). Data collection took place from May 2 to June 22, 2022.

The primary objective of the 2022 NDHS is to provide up-to-date estimates of basic demographic and health indicators. Specifically, the NDHS collected information on fertility, fertility preferences, family planning practices, childhood mortality, maternal and child health, nutrition, knowledge and attitudes regarding HIV/AIDS, violence against women, child discipline, early childhood development, and other health issues.

The information collected through the NDHS is intended to assist policymakers and program managers in designing and evaluating programs and strategies for improving the health of the country’s population. The 2022 NDHS also provides indicators anchored to the attainment of the Sustainable Development Goals (SDGs) and the new Philippine Development Plan for 2023 to 2028.

Geographic coverage

National coverage

Analysis unit

• Household
• Individual
• Children age 0-5
• Woman age 15-49

Universe

The survey covered all de jure household members (usual residents), all women aged 15-49, and all children aged 0-4 resident in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sampling scheme provides data representative of the country as a whole, for urban and rural areas separately, and for each of the country’s administrative regions. The sample selection methodology for the 2022 NDHS was based on a two-stage stratified sample design using the Master Sample Frame (MSF) designed and compiled by the PSA. The MSF was constructed based on the listing of households from the 2010 Census of Population and Housing and updated based on the listing of households from the 2015 Census of Population. The first stage involved a systematic selection of 1,247 primary sampling units (PSUs) distributed by province or HUC. A PSU can be a barangay, a portion of a large barangay, or two or more adjacent small barangays.

In the second stage, an equal take of either 22 or 29 sample housing units were selected from each sampled PSU using systematic random sampling. In situations where a housing unit contained one to three households, all households were interviewed. In the rare situation where a housing unit contained more than three households, no more than three households were interviewed. The survey interviewers were instructed to interview only the preselected housing units. No replacements and no changes of the preselected housing units were allowed in the implementing stage in order to prevent bias. Survey weights were calculated, added to the data file, and applied so that weighted results are representative estimates of indicators at the regional and national levels.

All women age 15–49 who were either usual residents of the selected households or visitors who stayed in the households the night before the survey were eligible to be interviewed. Among women eligible for an individual interview, one woman per household was selected for a module on women’s safety.

For further details on sample design, see APPENDIX A of the final report.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Two questionnaires were used for the 2022 NDHS: the Household Questionnaire and the Woman’s Questionnaire. The questionnaires, based on The DHS Program’s model questionnaires, were adapted to reflect the population and health issues relevant to the Philippines. Input was solicited from various stakeholders representing government agencies, academe, and international agencies. The survey protocol was reviewed by the ICF Institutional Review Board.

After all questionnaires were finalized in English, they were translated into six major languages: Tagalog, Cebuano, Ilocano, Bikol, Hiligaynon, and Waray. The Household and Woman’s Questionnaires were programmed into tablet computers to allow for computer-assisted personal interviewing (CAPI) for data collection purposes, with the capability to choose any of the languages for each questionnaire.

Cleaning operations

Processing the 2022 NDHS data began almost as soon as fieldwork started, and data security procedures were in place in accordance with confidentiality of information as provided by Philippine laws. As data collection was completed in each PSU or cluster, all electronic data files were transferred securely via SyncCloud to a server maintained by the PSA Central Office in Quezon City. These data files were registered and checked for inconsistencies, incompleteness, and outliers. The field teams were alerted to any inconsistencies and errors while still in the area of assignment. Timely generation of field check tables allowed for effective monitoring of fieldwork, including tracking questionnaire completion rates. Only the field teams, project managers, and NDHS supervisors in the provincial, regional, and central offices were given access to the CAPI system and the SyncCloud server.

A team of secondary editors in the PSA Central Office carried out secondary editing, which involved resolving inconsistencies and recoding “other” responses; the former was conducted during data collection, and the latter was conducted following the completion of the fieldwork. Data editing was performed using the CSPro software package. The secondary editing of the data was completed in August 2022. The final cleaning of the data set was carried out by data processing specialists from The DHS Program in September 2022.

Response rate

A total of 35,470 households were selected for the 2022 NDHS sample, of which 30,621 were found to be occupied. Of the occupied households, 30,372 were successfully interviewed, yielding a response rate of 99%. In the interviewed households, 28,379 women age 15–49 were identified as eligible for individual interviews. Interviews were completed with 27,821 women, yielding a response rate of 98%.

Sampling error estimates

The estimates from a sample survey are affected by two types of errors: (1) nonsampling errors and (2) sampling errors. Nonsampling errors are the results of mistakes made in implementing data collection and in data processing, such as failure to locate and interview the correct household, misunderstanding of the questions on the part of either the interviewer or the respondent, and data entry errors. Although numerous efforts were made during the implementation of the 2022 Philippines National Demographic and Health Survey (2022 NDHS) to minimize this type of error, nonsampling errors are impossible to avoid and difficult to evaluate statistically.

Sampling errors, on the other hand, can be evaluated statistically. The sample of respondents selected in the 2022 NDHS is only one of many samples that could have been selected from the same population, using the same design and identical size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between all possible samples. Although the degree of variability is not known exactly, it can be estimated from the survey results.

A sampling error is usually measured in terms of the standard error for a particular statistic (mean, percentage, etc.), which is the square root of the variance. The standard error can be used to calculate confidence intervals within which the true value for the population can reasonably be assumed to fall. For example, for any given statistic calculated from a sample survey, the value of that statistic will fall within a range of plus or minus two times the standard error of that statistic in 95% of all possible samples of identical size and design.

If the sample of respondents had been selected as a simple random sample, it would have been possible to use straightforward formulas for calculating sampling errors. However, the 2022 NDHS sample was the result of a multistage stratified design, and, consequently, it was necessary to use more complex formulas. Sampling errors are computed in SAS using programs developed by ICF. These programs use the Taylor linearization method to estimate variances for survey estimates that are means, proportions, or ratios. The Jackknife repeated replication method is used for variance estimation of more complex statistics such as fertility and mortality rates.

A more detailed description of estimates of sampling errors are presented in APPENDIX B of the survey report.

Data appraisal

Data Quality Tables

• Household age distribution
• Age distribution of eligible and interviewed women
• Age displacement at age 14/15
• Age displacement at age 49/50
• Pregnancy outcomes by years preceding the survey
• Completeness of reporting
• Observation of handwashing facility
• School attendance by single year of age
• Vaccination cards photographed
• Population pyramid
• Five-year mortality rates

See details of the data quality tables in Appendix C of the final report.

Population of compulsory school age, both sexes (number) in Philippines was reported at 28240453 Persons in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. Philippines - Population of compulsory school age, both sexes - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

Age dependency ratio, young (% of working-age population) in Philippines was reported at 41.82 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Philippines - Age dependency ratio, young (% of working-age population) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.